Machine Learning Engineer

Point72

New York, United States
On-site
Sequential modeling
Time series forecasting
Deep neural networks
This role will apply the latest AI technologies to solve various real-world problems and streamline day-to-day operations, such as creating a production support AI agent that helps monitor production problems and suggest actions

Job Summary

  • This role will apply the latest AI technologies to solve various real-world problems and streamline day-to-day operations, such as creating a production support AI agent that helps monitor production problems and suggest actions.
  • This role will also work with the AI research group on various projects such as creating synthetic data for training and using MCP agents to streamline research workflow.
  • Cubist Systematic Strategies deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange.

Matching Summary

This role will apply the latest AI technologies to solve various real-world problems and streamline day-to-day operations, such as creating a production support AI agent that helps monitor production problems and suggest actions.

Skills & Requirements

Must-have

  • sequential modeling
  • time series forecasting
  • deep neural networks
  • representation learning
  • Python and R programming
  • TensorFlow or PyTorch

Nice-to-have

  • AI production support agent
  • synthetic data generation
  • MCP agents for research
  • Agent or Context engineering
  • natural language processing

Key Requirements

  • PhD or PhD candidate
  • data driven research environment
  • translating mathematical models into code
  • analytical skills
  • independent research ability
  • communication skills
  • ethical standards

Work Rights

Not specified

Tailored Resume

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